Decision tree learning

Results: 321



#Item
61Linear discriminant analysis / Pruning / Tree / Dynamic programming / Decision tree learning / Statistics / Decision trees / Binary tree

Optimal Actuation Strategies for Sensor/Actuator Networks F. Thouin, R. Thommes and M.J. Coates McGill University Department of Electrical and Computer Engineering 3480 University, Montreal, Quebec, Canada H3A 2A7

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Source URL: www.tsp.ece.mcgill.ca

Language: English - Date: 2006-07-19 14:26:54
62Econometrics / Decision trees / Wool / Staple / Linear regression / Decision tree learning / Forecasting / CHAID / Auction / Statistics / Regression analysis / Sheep wool

Modelling the Structure of Australian Wool Auction Prices

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-01-15 17:45:52
63Ensemble learning / AdaBoost / Boosting / Supervised learning / Perceptron / Statistical classification / Alternating decision tree / Machine learning / Artificial intelligence / Learning

LEARN++: AN INCREMENTAL LEARNING ALGORITHM FOR MULTILAYER PERCEPTRON NETWORKS R. Polikar*, L.Udpa*, S.S. Udpa*,**V. Honavar** *Dept. of Electrical and Computer Engineering, Dept. of Computer Science Iowa State University

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Source URL: www.cs.iastate.edu

Language: English - Date: 2005-02-05 22:00:52
64Decision trees / Statistics / Gene expression / Bioinformatics / Random forest / Decision tree learning / DNA microarray / Gene expression profiling / Feature selection / Biology / Machine learning / Microarrays

A comparison of Bayesian classification trees and random forest to identify classifiers for childhood leukaemia

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-01-16 21:22:04
65Segmentation / Speech recognition / Hidden Markov model / Human–computer interaction / Decision tree learning / Speech synthesis / Speech segmentation / Computational linguistics / Science / Artificial intelligence

➠ ➡ Refining Segmental Boundaries for TTS Database Using Fine ContextualDependent Boundary Models Lijuan Wang1, Yong Zhao2, Min Chu2, Jianlai Zhou2 and Zhigang Cao1 1

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Source URL: research.microsoft.com

Language: English - Date: 2009-08-10 10:41:28
66Data mining / Decision trees / K-nearest neighbor algorithm / Cluster analysis / Random forest / K-means clustering / Segmentation / Distance matrix / Decision tree learning / Statistics / Machine learning / Computational statistics

2014 IEEE Conference on Computer Vision and Pattern Recognition Constructing Robust Affinity Graphs for Spectral Clustering Xiatian Zhu1 , Chen Change Loy2 , Shaogang Gong1 1 Queen Mary University of London, London E1

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Source URL: personal.ie.cuhk.edu.hk

Language: English - Date: 2014-07-02 23:16:31
67Econometrics / Categorical data / Psychometrics / CHAID / Latent class model / Multinomial logit / Decision tree learning / Latent variable / Factor analysis / Statistics / Regression analysis / Decision trees

An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables? Jay Magidson1 and Jeroen K. Vermunt2 1 2

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Source URL: www.statisticalinnovations.com

Language: English - Date: 2006-09-05 12:14:41
68Least squares / Decision tree learning / Errors and residuals in statistics / Outline of regression analysis / Statistics / Regression analysis / Linear regression

Detecting Multiple Mean Breaks At Unknown Points With Atheoretical Regression Trees

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-01-15 17:46:53
69Machine learning / Decision tree learning / Receiver operating characteristic / Overfitting / Economic model / Data analysis / Reliability engineering / Density estimation / Statistics / Science / Data mining

A DATA-DRIVEN METHOD FOR SELECTING OPTIMAL MODELS BASED ON GRAPHICAL VISUALISATION OF DIFFERENCES IN SEQUENTIALLY FITTED ROC MODEL PARAMETERS K S Mwitondi*1, R E Moustafa2 and A S Hadi3 *1

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Source URL: isds.nict.go.jp

Language: English - Date: 2013-06-14 03:58:16
70Support vector machine / Perceptron / Margin classifier / Supervised learning / Decision boundary / Classifier / Decomposition method / Multiclass classification / Tree / Statistics / Machine learning / Statistical classification

S.A. Solla, T.K. Leen and K.-R. M¨uller (eds.), 547–553, MIT PressLarge Margin DAGs for Multiclass Classification John C. Platt Microsoft Research

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Source URL: research.microsoft.com

Language: English - Date: 2004-11-30 20:32:07
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